Sentence examples similar to multivariate analysis involving three variables from inspiring English sources

The multivariate analysis involved all variables that were significantly related to survival on bivariate analysis at p < 0.1.

Multivariate analysis involved regression of variables that showed a univariate regression p-value of <0.1 with adjustment for potential confounders (age).

To identity the risk factors for overlap, the statistical analysis involved three steps: description of variation with all potential risk factors for overlap, univariate analysis of the probability of overlap with single independent variables and multivariate analysis using logistic regression.

Multivariate analysis involved backward stepwise logistic regression with all variables significant at p<0.10; only variables which improved model fit at p<0.10 were included in the final model.

Multivariate analysis defined seven variables that independently influenced outcome: microorganism, blood pressure, body temperature, primary focus of infection, place of acquisition of infection, age, and predisposing factors.

The multivariate analysis identified eight variables that were associated independently with adherence.

The final decision rule derived by multivariate analysis included eight variables (table 2).

In both univariate and multivariate analysis, these two variables were strongly associated with polyp size in all age groups.

As presented in Table 4, the multivariate analysis identified eight variables that were associated independently with adherence.

Following multivariate regression analysis, two variables were significant at P ≤ 0.05.

A multivariate logistic analysis identified six variables related to increased risk for clinically relevant depressive symptoms (p <0.05).